Martin K. Oaks
- Immunology top 5%
- T-cell and B-cell Immunology 13
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 6
- Behavioral Neuroscience top 10%
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments 4
- Genetics top 10%
- Diabetes and associated disorders 5
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- Transplantation: Methods and Outcomes 5
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- Monoclonal and Polyclonal Antibodies Research 5
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- Glycosylation and Glycoproteins Research 3
- Co-authors
- Hershel RaffA. Joseph TectorSimon WarrenWilliam C. EngelandEric P. WidmaierJulie HongJohn HansonFrancis X. Downey
- Partner nations
- United StatesPhilippinesNetherlands
In The Last Decade
Martin K. Oaks
37 papers receiving 907 citations
Peers
Comparison fields: 5 of 77
- Immunology 481
- Behavioral Neuroscience 62
- Transplantation 44
- Genetics 280
- Endocrinology, Diabetes and Metabolism 109
Countries citing papers authored by Martin K. Oaks
This map shows the geographic impact of Martin K. Oaks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin K. Oaks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin K. Oaks more than expected).
Fields of papers citing papers by Martin K. Oaks
This network shows the impact of papers produced by Martin K. Oaks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin K. Oaks. The network helps show where Martin K. Oaks may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin K. Oaks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 6 | |
| 2 | 2017 | 0 | |
| 3 | 2014 | 21 | |
| 4 | 2012 | 12 | |
| 5 | 2009 | 8 | |
| 6 | 2006 | 5 | |
| 7 | 2005 | 17 | |
| 8 | 2005 | 9 | |
| 9 | 2003 | 9 | |
| 10 | 2001 | 10 | |
| 11 | 2000 | 204 | |
| 12 | 2000 | 1 | |
| 13 | 1997 | 1 | |
| 14 | 1995 | 5 | |
| 15 | 1995 | 6 | |
| 16 | 1995 | 25 | |
| 17 | 1992 | 1 | |
| 18 | 1988 | 10 | |
| 19 | 1987 | 2 | |
| 20 | 1961 | 28 |
About Martin K. Oaks
Martin K. Oaks is a scholar working on Transplantation, Immunology, Aging, Behavioral Neuroscience and Hematology, having authored 39 papers that have together received 923 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (11 papers), Immune Cell Function and Interaction (6 papers), Diabetes and associated disorders (5 papers), Transplantation: Methods and Outcomes (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (481 citations), Behavioral Neuroscience (62 citations), Transplantation (44 citations), Genetics (280 citations) and Endocrinology, Diabetes and Metabolism (109 citations). Martin K. Oaks has collaborated with scholars based in United States, Philippines and Netherlands. Frequent co-authors include Hershel Raff, A. Joseph Tector, Simon Warren, William C. Engeland, Eric P. Widmaier, Julie Hong, John Hanson, Francis X. Downey, Vinay Thohan and John O. Richards. Their work appears in journals such as Transplantation, Endocrinology, Cytometry Part A, European Journal of Human Genetics and Journal of Nutrition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.